CN108470231A - Consider the power distribution network distributed energy storage addressing constant volume method of energy-storage system quantization characteristic - Google Patents
Consider the power distribution network distributed energy storage addressing constant volume method of energy-storage system quantization characteristic Download PDFInfo
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Abstract
A kind of power distribution network distributed energy storage addressing constant volume method considering energy-storage system quantization characteristic：The structure and parameter of the selected distribution system of input；Obtain the probability occurred for the typical scene of distributed energy storage addressing constant volume and each scene whole year；Establish the power distribution network distributed energy storage addressing constant volume model for considering energy-storage system quantization characteristic, including object function and constraints；The power distribution network distributed energy storage addressing constant volume model of energy-storage system quantization characteristic the considerations of obtaining is solved using mixed integer nonlinear programming Mathematical device；Export solving result, including power distribution network year comprehensive cost, power distribution network annual operating cost, conversion to annual energy-storage system investment cost and configuration energy-storage system type, position and volume solutions.The present invention establishes the power distribution network distributed energy storage addressing constant volume model for considering energy-storage system quantization characteristic and solves, and can provide an economically and reasonably allocation plan for the type selecting of distributed energy storage system, addressing, constant volume problem in power distribution network.
Description
Technical field
The present invention relates to a kind of power distribution network distributed energy storage addressing constant volume methods.More particularly to a kind of consideration energy-storage system
The power distribution network distributed energy storage addressing constant volume method of quantization characteristic.
Background technology
With the continuous improvement of distributed generation resource and novel flexible load permeability, traditional unidirectional passive power distribution net just by
Gradually it is evolved into active power distribution network.The access of large-scale distributed power supply brings reduction system loss, raising power supply can to power distribution network
By property, the benefits such as reduce environmental pollution, but is also brought simultaneously to the voltage of power distribution network, power quality, management and running etc. a series of
Influence.
The propulsion of power industry market-oriented reform has built free, fair electricity transaction environment, has realized social resources
Reasonable utilization.But under Power Market, the user in active power distribution network is come with realizing that itself economic interests maximizes
The electrical energy production of progress or consumer behavior, it would be possible to cause distribution power flow to be distributed in time and concentrations spatially, from
And lead to power distribution network obstructing problem, seriously affect the safety and economic operation of system.
Energy-storage system is to realize that distributed energy efficiently utilizes the gentle important means for de-coordinating Network congestion.Energy-storage system is logical
It is crossed in time to the transfer of energy, can effectively be reduced since distributed generation resource is contributed caused by intermittent and randomness
It influences, optimizes the operating status of distribution system.Energy-storage system is charged by discharging in peak hours in low ebb load, can
The peak load shifting for effectively realizing load, reduces the power demand of peak load, alleviates power distribution network obstruction.But energy storage system at present
System involves great expense, therefore on the basis of meeting system operation demand, and the position and capacity to energy-storage system carry out rational
Planning and designing tool has very important significance.
Currently, existing energy-storage system addressing constant volume method does not often account for the type of energy storage.But in Practical Project
Different types of energy storage device parameter differences are larger, are respectively suitable for different demand scenes.The energy storage device of single type is difficult
To take into account many aspects such as high efficiency, long-life, therefore a plurality of types of energy-storage systems are subjected to unified plan, can given full play to
The technical advantage of different energy storage, meets the needs of power distribution network is on energy-storage property.On the other hand, with the development of energy storage technology,
The cost of energy-storage system will be greatly reduced, and the economic benefit in power distribution network also will be highlighted more.Due to different types of
Energy-storage system cost is different, when carrying out energy storage planning, needs the comparison between the cost progress transverse direction by different type energy storage, choosing
Optimal energy storage selecting type scheme is taken, to realize maximization of economic benefit.
Therefore, it is badly in need of a kind of power distribution network distributed energy storage addressing constant volume method considering energy-storage system quantization characteristic, to match
The type selecting of distributed energy storage system, addressing, constant volume problem provide an economically and reasonably allocation plan in power grid.
Invention content
The considerations of type, position and the capacity that the technical problem to be solved by the invention is to provide a kind of including energy storage, stores up
The power distribution network distributed energy storage addressing constant volume method of energy system quantifies feature.
The technical solution adopted in the present invention is：A kind of power distribution network distributed energy storage choosing considering energy-storage system quantization characteristic
Location constant volume method, includes the following steps：
1) according to selected distribution system, incoming line parameter, load level and network topology connection relation, are distributed respectively
Formula plant-grid connection position and capacity, the quantization parameter of different type energy-storage system, system node voltage and branch current limitation are
System reference voltage and reference power initial value, wherein the quantization parameter of the different type energy-storage system includes unit price, follows
Ring service life, efficiency for charge-discharge and maximum depth of discharge；
2) use k means clustering algorithms to the workload demand of power distribution network location whole year, wind turbine output and photovoltaic contribute into
Row clustering obtains the probability occurred for the typical scene of distributed energy storage addressing constant volume and each scene whole year；
3) the power distribution network distributed energy storage addressing constant volume model for considering energy-storage system quantization characteristic is established, including：Choose root
Node is balance nodes, the setting power distribution network year minimum object function of comprehensive cost, considers distribution system trend constraint respectively, matches
Electrical system safety operation constraint, energy-storage system operation constraint and energy-storage system installation site and capacity-constrained, the power distribution network
Year minimum object function of comprehensive cost includes that annual energy-storage system investment cost is arrived in power distribution network annual operating cost and conversion；
4) the power distribution network distributed energy storage addressing constant volume model of the considerations of obtaining step 3) energy-storage system quantization characteristic makes
It is solved with mixed integer nonlinear programming Mathematical device；
5) solving result of step 4), including power distribution network year comprehensive cost, power distribution network annual operating cost, conversion are exported to often
The energy-storage system investment cost and configuration energy-storage system type in year, position and volume solutions.
The minimum object function minC of power distribution network year comprehensive cost described in step 3) is expressed as：
MinC=COPE+CINV
In formula, COPEFor power distribution network annual operating cost, CINVAnnual energy-storage system investment cost is arrived for conversion, is indicated respectively
For：
In formula, ΩSFor the set of typical scene, ΩTFor the set of the period under each scene, ΩtypeFor energy-storage system class
The set of type, ΩNFor the set of all nodes of distribution system；Δ t is the time interval that optimization calculates；λtFor the electricity price of t periods；d
For discount rate；Y is the service life of energy-storage system；It is transmitted to power distribution network for s-th of scene t period higher level power grid active
Power, it is specified that higher level's power grid to power distribution network transimission power be positive direction；psOccur for s-th of typical scene whole year after cluster general
Rate； The respectively unit power cost of investment and unit energy cost of investment of m kinds energy-storage system；The capacity of power cell and energy unit respectively in m kinds energy-storage system；yi,m、zi,mRespectively in node i
The quantity of power cell and energy unit in m kind energy-storage systems is installed.
Energy-storage system described in step 3) runs constraint representation：
In formula,What m kind energy-storage systems injected in respectively s-th of scene t moment node i is active
Power and reactive power；For the energy of m kind energy-storage systems in s-th of scene t period node i；It is s-th
The power attenuation of m kind energy-storage systems in scene t period node is；For the loss factor of m kind energy-storage systems；The respectively bound of m kinds energy-storage system state-of-charge；For the cycle longevity of m kind energy-storage systems
Life, i.e., maximum charge and discharge number；SOCS, m, t=0For the state-of-charge of s-th of scene m kind energy-storage system initial time period,For the energy storage capacity of the upper m kinds energy-storage system processing completion time used for them of m-th of scenario node i；yi,m、zi,mRespectively in node i
The quantity of power cell and energy unit in m kind energy-storage systems is installed；Respectively in m kinds energy-storage system
The capacity of power cell and energy unit；Δ t is the time interval that optimization calculates；ΩTFor the set of the period under each scene；
Y is the service life of energy-storage system.
Energy-storage system installation site shown in step 3) is expressed as with capacity-constrained：
In formula, SBGT、EBGTRespectively energy-storage system planning general power and total stored energy capacitance；δi∈ { 0,1 }, works as δiTable when=1
Show that node i installs energy-storage system, works as δiIndicate that node i does not install energy-storage system when=0；nESSTo allow that energy-storage system section is housed
The maximum quantity of point；ΩtypeFor the set of energy-storage system type, ΩNFor the set of all nodes of distribution system；yi,m、zi,mRespectively
To install the quantity of power cell and energy unit in m kind energy-storage systems in node i；Respectively m kinds are stored up
The capacity of power cell and energy unit in energy system.
The power distribution network distributed energy storage addressing constant volume method of the consideration energy-storage system quantization characteristic of the present invention, based on solution
Distributed energy storage addressing constant volume problem fully considers the unit price and operation characteristic of different type energy storage, establishes and considers energy storage
The power distribution network distributed energy storage addressing constant volume model of system quantifies feature, uses mixed integer nonlinear programming Mathematical device
(CONOPT, BONMIN etc.) is solved, and distributed energy storage addressing constant volume scheme, including the type of energy storage, position, capacity are obtained
Deng.An economically and reasonably configuration side can be provided for the type selecting of distributed energy storage system, addressing, constant volume problem in power distribution network
Case.
Description of the drawings
Fig. 1 is the flow for the power distribution network distributed energy storage addressing constant volume method that the present invention considers energy-storage system quantization characteristic
Figure；
Fig. 2 is 33 node example structure charts of improved IEEE；
Fig. 3 a are distribution web area yearly load curves；
Fig. 3 b are distribution web area wind turbine year power curves；
Fig. 3 c are power distribution network region photovoltaic year power curves；
Fig. 4 a are the 1st typical scene figures obtained using k means clustering algorithms；
Fig. 4 b are the 2nd typical scene figures obtained using k means clustering algorithms；
Fig. 4 c are the 3rd typical scene figures obtained using k means clustering algorithms；
Fig. 4 d are the 4th typical scene figures obtained using k means clustering algorithms；
Fig. 4 e are the 5th typical scene figures obtained using k means clustering algorithms；
Fig. 4 f are the 6th typical scene figures obtained using k means clustering algorithms；
Fig. 4 g are the 7th typical scene figures obtained using k means clustering algorithms；
Fig. 4 h are the 8th typical scene figures obtained using k means clustering algorithms；
Fig. 4 i are the 9th typical scene figures obtained using k means clustering algorithms；
Fig. 4 j are the 10th typical scene figures obtained using k means clustering algorithms；
Fig. 4 k are the 11st typical scene figures obtained using k means clustering algorithms；
Fig. 4 l are the 12nd typical scene figures obtained using k means clustering algorithms.
Specific implementation mode
With reference to embodiment and attached drawing to the power distribution network distributed energy storage of the consideration energy-storage system quantization characteristic of the present invention
Addressing constant volume method is described in detail.
As shown in Figure 1, the power distribution network distributed energy storage addressing constant volume method of the consideration energy-storage system quantization characteristic of the present invention,
Include the following steps：
1) according to selected distribution system, incoming line parameter, load level and network topology connection relation, are distributed respectively
Formula plant-grid connection position and capacity, the quantization parameter of different type energy-storage system, system node voltage and branch current limitation are
System reference voltage and reference power initial value, wherein the quantization parameter of the different type energy-storage system includes unit price, follows
Ring service life, efficiency for charge-discharge and maximum depth of discharge；
2) use k means clustering algorithms to the workload demand of power distribution network location whole year, wind turbine output and photovoltaic contribute into
Row clustering obtains the probability occurred for the typical scene of distributed energy storage addressing constant volume and each scene whole year；
3) the power distribution network distributed energy storage addressing constant volume model for considering energy-storage system quantization characteristic is established, including：Choose root
Node is balance nodes, the setting power distribution network year minimum object function of comprehensive cost, considers distribution system trend constraint respectively, matches
Electrical system safety operation constraint, energy-storage system operation constraint and energy-storage system installation site and capacity-constrained, the power distribution network
Year minimum object function of comprehensive cost includes that annual energy-storage system investment cost is arrived in power distribution network annual operating cost and conversion；Its
In,
(1) the minimum object function minC of power distribution network year comprehensive cost described in is expressed as：
MinC=COPE+CINV (1)
In formula, COPEFor power distribution network annual operating cost, CINVAnnual energy-storage system investment cost is arrived for conversion, is indicated respectively
For：
In formula, ΩSFor the set of typical scene, ΩTFor the set of the period under each scene, ΩtypeFor energy-storage system class
The set of type, ΩNFor the set of all nodes of distribution system；Δ t is the time interval that optimization calculates；λtFor the electricity price of t periods；d
For discount rate；Y is the service life of energy-storage system；It is transmitted to power distribution network for s-th of scene t period higher level power grid active
Power, it is specified that higher level's power grid to power distribution network transimission power be positive direction；psOccur for s-th of typical scene whole year after cluster general
Rate； The respectively unit power cost of investment and unit energy cost of investment of m kinds energy-storage system；The capacity of power cell and energy unit respectively in m kinds energy-storage system；yi,m、zi,mRespectively in node i
The quantity of power cell and energy unit in m kind energy-storage systems is installed.
(2) the distribution system trend constraint described in is expressed as
In formula, ΩbIndicate the set of all branches, ΩSFor the set of root node；rijFor the resistance of branch ij, xijFor branch
The reactance of road ij；Ps,t,ij、Qs,t,ijThe active power and reactive power flowed through on respectively s-th of scene t moment branch ij；
Ps,t,i、Qs,t,iThe sum of active power and reactive power for being injected in respectively s-th of scene t moment node i；
The active power and reactive power that distributed generation resource injects in respectively s-th of scene t moment node i；Point
Not Wei in s-th of scene t moment node i m kind energy storage injection active power and reactive power；Respectively
The active power and reactive power consumed for load on s-th of scenario node i；Is,t,ijIt is flowed to for s-th of scene t moment node i
The current amplitude of node j；Us,t,iFor the voltage magnitude of s-th of scene t moment node i.
(3) power distribution system secure described in runs constraint representation
In formula,WithThe respectively voltage magnitude bound of node i；On current amplitude for branch ij
Limit.
(4) energy-storage system described in runs constraint representation：
In formula,The wattful power that m kind energy-storage systems inject in respectively s-th of scene t moment node i
Rate and reactive power；For the energy of m kind energy-storage systems in s-th of scene t period node i；It is s-th
The power attenuation of m kind energy-storage systems in scape t period node is；For the loss factor of m kind energy-storage systems；The respectively bound of m kinds energy-storage system state-of-charge；For the cycle longevity of m kind energy-storage systems
Life, i.e., maximum charge and discharge number；SOCS, m, t=0For the state-of-charge of s-th of scene m kind energy-storage system initial time period,For the energy storage capacity of the upper m kinds energy-storage system processing completion time used for them of s-th of scenario node i；yi,m、zi,mRespectively in node i
The quantity of power cell and energy unit in m kind energy-storage systems is installed；Respectively in m kinds energy-storage system
The capacity of power cell and energy unit；Δ t is the time interval that optimization calculates；ΩTFor the set of the period under each scene；
Y is the service life of energy-storage system.
(5) energy-storage system installation site shown in is expressed as with capacity-constrained：
In formula, SBGT、EBGTRespectively energy-storage system planning general power and total stored energy capacitance；δi∈ { 0,1 }, works as δiTable when=1
Show that node i installs energy-storage system, works as δiIndicate that node i does not install energy-storage system when=0；nESSTo allow that energy-storage system section is housed
The maximum quantity of point；ΩtypeFor the set of energy-storage system type, ΩNFor the set of all nodes of distribution system；yi,m、zi,mRespectively
To install the quantity of power cell and energy unit in m kind energy-storage systems in node i；Respectively m kinds are stored up
The capacity of power cell and energy unit in energy system.
Formula (1)~(22) constitute the power distribution network distributed energy storage addressing constant volume model for considering energy-storage system quantization characteristic.
4) the power distribution network distributed energy storage addressing constant volume model of the considerations of obtaining step 3) energy-storage system quantization characteristic makes
It is solved with mixed integer nonlinear programming Mathematical device；
5) solving result of step 4), including power distribution network year comprehensive cost, power distribution network annual operating cost, conversion are exported to often
The energy-storage system investment cost and configuration energy-storage system type in year, position and volume solutions.
Specific embodiment is given below：
For the present embodiment, input the impedance value of circuit element in 33 node systems of IEEE first, load cell it is active
Power, reactive power, network topology connection relation, example structure is as shown in Fig. 2, detail parameters are shown in Tables 1 and 2；Access 5 groups of wind
Motor group and 3 groups of photovoltaic systems, power factor 1.0, position and capacity are shown in Table 3；Consider three kinds of different types of distributions of access
Formula energy storage, design parameter are shown in Table 4.Plan that general power and total stored energy capacitance are respectively 1MVA, 4MWh；Allow that energy-storage system section is housed
The maximum quantity of point is 4；Energy-storage system service life is 10 years, discount rate 0.08；Tou power price parameter is as shown in table 5；
The reference voltage of last set system is 12.66kV, reference power 1MVA.
It is assumed that the power distribution network region yearly load curve, wind turbine year power curve and photovoltaic year power curve such as Fig. 3 a,
Shown in Fig. 3 b, Fig. 3 c.It is contributed to annual workload demand, wind turbine and photovoltaic using k means clustering algorithms and carries out clustering, obtained
Typical scene to distributed energy storage addressing constant volume is as shown in Figure 4.It is solved using the method for the present invention, program results are shown in Table 6
With table 7.As can be seen that reducing 1.55 ten thousand dollars than the year comprehensive cost before planning after planning, 1.19% is decreased by；Power distribution network
Annual operating cost reduces 7.30 ten thousand dollars, decreases by 5.60%.Programme has selected lead-acid battery and sodium-sulphur battery battery
Energy storage accesses distribution system, wherein the 31st, 32 nodes configure two kinds of energy storage simultaneously.Lead-acid battery price is relatively low, and sodium-sulphur battery follows
Ring efficiency and cycle life are higher, exist on two kinds of energy-storage properties and have complementary advantages, while matching and postponing the warp for improving system operation
Ji property.And lithium ion battery energy storage although in performance relatively in addition two kinds of energy storage it is advantageous, it is expensive, is not chosen
Select access distribution system.Program results have considered the quantization characteristic of different energy-storage systems, by type selecting to energy-storage system,
Addressing, constant volume improve the economy of distribution network operation, have to the planning of the following power distribution network distributed energy storage system good
Directive significance.
It is Intel (R) Core (TM) i5-3470CPU to execute the computer hardware environment that optimization calculates, and dominant frequency is
3.20GHz inside saves as 4GB；Software environment is 10 operating systems of Windows.
1 IEEE33 nodes example load on-position of table and power
2 IEEE33 node example line parameter circuit values of table
3 distributed generation resource of table configures parameter
4 different type energy-storage system parameter of table
5 tou power price parameter of table
| Period | Period span | Electricity price/dollar kWh-1 |
| The peak period | 15:00-22:00 | 0.18 |
| Usually section | 8:00-15:00 | 0.132 |
| The paddy period | 0:00-8:00,22:00-24:00 | 0.087 |
6 distributed energy storage system addressing constant volume scheme of table
Table 7 plans that front and back cost compares
Claims (4)
1. a kind of power distribution network distributed energy storage addressing constant volume method considering energy-storage system quantization characteristic, which is characterized in that including
Following steps：
1) according to selected distribution system, difference incoming line parameter, load level and network topology connection relation, distributed electrical
Source on-position and capacity, the quantization parameter of different type energy-storage system, system node voltage and branch current limitation, system base
Quasi- voltage and reference power initial value, wherein the quantization parameter of the different type energy-storage system includes unit price, cycle longevity
Life, efficiency for charge-discharge and maximum depth of discharge；
2) k means clustering algorithms is used to gather the workload demand of power distribution network location whole year, wind turbine output and photovoltaic output
Alanysis obtains the probability occurred for the typical scene of distributed energy storage addressing constant volume and each scene whole year；
3) the power distribution network distributed energy storage addressing constant volume model for considering energy-storage system quantization characteristic is established, including：Choose root node
For balance nodes, the setting power distribution network year minimum object function of comprehensive cost considers distribution system trend constraint, power distribution system respectively
Safe operation constraint, energy-storage system operation constraint and the energy-storage system installation site of uniting and capacity-constrained, the power distribution network year are comprehensive
The minimum object function of conjunction expense includes that annual energy-storage system investment cost is arrived in power distribution network annual operating cost and conversion；
4) the power distribution network distributed energy storage addressing constant volume model of the considerations of obtaining step 3) energy-storage system quantization characteristic uses mixed
Integral nonlinear program-ming Mathematical device is closed to be solved；
5) solving result of step 4) is exported, including power distribution network year comprehensive cost, power distribution network annual operating cost, conversion are to annual
Energy-storage system investment cost and configuration energy-storage system type, position and volume solutions.
2. the power distribution network distributed energy storage addressing constant volume method according to claim 1 for considering energy-storage system quantization characteristic,
It is characterized in that, the minimum object function minC of power distribution network year comprehensive cost described in step 3) is expressed as：
MinC=COPE+CINV
In formula, COPEFor power distribution network annual operating cost, CINVAnnual energy-storage system investment cost is arrived for conversion, is expressed as：
In formula, ΩSFor the set of typical scene, ΩTFor the set of the period under each scene, ΩtypeFor energy-storage system type
Set, ΩNFor the set of all nodes of distribution system；Δ t is the time interval that optimization calculates；λtFor the electricity price of t periods；D is patch
Now rate；Y is the service life of energy-storage system；The wattful power transmitted to power distribution network for s-th of scene t period higher level power grid
Rate, it is specified that higher level's power grid to power distribution network transimission power be positive direction；psOccur for s-th of typical scene whole year after cluster general
Rate；The respectively unit power cost of investment and unit energy cost of investment of m kinds energy-storage system；The capacity of power cell and energy unit respectively in m kinds energy-storage system；yi,m、zi,mRespectively in node i
The quantity of power cell and energy unit in m kind energy-storage systems is installed.
3. the power distribution network distributed energy storage addressing constant volume method according to claim 1 for considering energy-storage system quantization characteristic,
It is characterized in that, the energy-storage system operation constraint representation described in step 3) is：
In formula,In respectively s-th of scene t moment node i m kind energy-storage systems inject active power and
Reactive power；For the energy of m kind energy-storage systems in s-th of scene t period node i；For s-th of scene t when
The power attenuation of the upper m kind energy-storage systems of Duan Jiediani；For the loss factor of m kind energy-storage systems；The respectively bound of m kinds energy-storage system state-of-charge；For the cycle longevity of m kind energy-storage systems
Life, i.e., maximum charge and discharge number；SOCS, m, t=0For the state-of-charge of s-th of scene m kind energy-storage system initial time period,For the energy storage capacity of the upper m kinds energy-storage system processing completion time used for them of s-th of scenario node i；yi,m、zi,mRespectively pacify in node i
Fill the quantity of power cell and energy unit in m kind energy-storage systems；Respectively power in m kinds energy-storage system
The capacity of unit and energy unit；Δ t is the time interval that optimization calculates；ΩTFor the set of the period under each scene；Y is
The service life of energy-storage system.
4. the power distribution network distributed energy storage addressing constant volume method according to claim 1 for considering energy-storage system quantization characteristic,
It is characterized in that, energy-storage system installation site shown in step 3) is expressed as with capacity-constrained：
In formula, SBGT、EBGTRespectively energy-storage system planning general power and total stored energy capacitance；δi∈ { 0,1 }, works as δiSection is indicated when=1
Point i installs energy-storage system, works as δiIndicate that node i does not install energy-storage system when=0；nESSTo allow equipped with energy-storage system node
Maximum quantity；ΩtypeFor the set of energy-storage system type, ΩNFor the set of all nodes of distribution system；yi,m、zi,mRespectively save
The quantity of power cell and energy unit in m kind energy-storage systems is installed on point i；Respectively m kinds energy storage system
The capacity of power cell and energy unit in system.
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